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What Data for This Category Looks Like
This category of data centers on the full process of cybersecurity assessment consulting. Sources include scan results exported from assessment tools, on-site interview records, asset system inventories, and security device operation logs. Core daily output documents include classification determination reports, gap analysis reports, rectification plans, and assessment reports. Each document corresponds to a single assessment project. Update frequency follows the project cycle, and content is gradually improved as assessment progress advances within a single project. Data fields cover asset information, control item compliance status, rectification records, assessment conclusions, and more. There are no unified fixed units, and values adjust based on document type.
Constraints Imposed on Database and Operations Maintenance Links
The data characteristics of this category impose multiple constraints on database and operations maintenance links. First, data uses a single assessment project as an independent update cycle, with content gradually improved as progress advances within the project. This requires the database to support multi-project data isolation and dynamic field expansion, to avoid cross-project data confusion. Second, data sources cover multiple formats including tool export results, interview records, log files, and more. This requires the database to support mixed storage of structured and unstructured data, and adapt to multi-source data import workflows. In addition, core documents associate with multiple types of fields such as assets, control items, and rectification records. Establish index associations to improve query efficiency. Data loss directly affects assessment progress, so configure a reliable backup and recovery mechanism.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/dbname?authSource=admin | Adapts to storage requirements for multi-project data isolation, and supports authenticated access to protect assessment data security |
PG_URL | postgresql://username:password@host:port/dbname?sslmode=require | Stores structured assessment reports, rectification plans and other documents, and supports complex query associations |
DB_MAX_LINK | 20–30 | Matches concurrent usage requirements for multiple users editing assessment documents within a single project, to avoid connection exhaustion |
| Single database query limit | Top 50–100 entries | Limits the amount of data returned per request, to avoid slowing down the system from full data retrieval |
| Database connection timeout | 600 seconds | Adapts to standard response durations for editing and querying assessment documents, to avoid interrupting normal operations due to short timeouts |
REDIS_URL | redis://:password@host:port/0 | Caches control item compliance data from frequent queries, to improve page loading speed |
Three Common Misconfigurations
- Issue: MongoDB deployed via Docker fails to connect, with authentication failure prompt. Cause: Correct account and password information is not configured in
MONGODB_URI, or authentication mode is not enabled for MongoDB within the container. - Issue: After calling MySQL data, the large language model does not reference original database fragments in responses. Cause: Result caching and fragment extraction logic after Function CALL is not configured, and the original text reference link is not established.
- Issue: Each database call returns full data, resulting in low query efficiency. Cause: No project ID filter condition is added, leading to bulk retrieval of cross-project data, and reasonable query limit parameters are not configured.
How to Verify Configuration Completion
- Run a database connection test script to verify that configuration items such as
MONGODB_URIandPG_URLcan establish normal connections, with no authentication or address errors. - Import document data for a single assessment project, and query associated information for corresponding fields to confirm that data storage and index associations work properly.
- Launch a multi-user concurrent access test, observe changes in database connection counts, and confirm that the
DB_MAX_LINKconfiguration supports concurrent usage requirements. - Trigger a database query operation, check whether the returned results include project filter conditions, and confirm that the data isolation logic takes effect.
The values provided are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.